What are the applications of random forests in machine learning?

What are the applications of random forests in machine learning?

Random forests are used in various applications like classification, regression, and feature selection.

Can you give me some specific examples of where random forests are applied?

Sure! They are commonly used in finance for credit scoring, in healthcare for disease prediction, and in marketing for customer segmentation.

How do random forests compare to other algorithms?

Random forests generally provide better accuracy and robustness against overfitting compared to single decision trees.

Are there any limitations to using random forests?

Yes, they can be less interpretable than simpler models and may require more computational resources.